From 4677dd4da3195c7bc4ccfbaa1eeaf2ffc13cf015 Mon Sep 17 00:00:00 2001 From: bl Date: Tue, 4 Jul 2017 19:21:34 -0700 Subject: [PATCH] Unit tests for daily seasonality (Py) --- python/fbprophet/tests/data.csv | 511 +++++++++++++++ python/fbprophet/tests/data2.csv | 864 +++++++++++++++++++++++++ python/fbprophet/tests/test_prophet.py | 550 +--------------- 3 files changed, 1407 insertions(+), 518 deletions(-) create mode 100644 python/fbprophet/tests/data.csv create mode 100644 python/fbprophet/tests/data2.csv diff --git a/python/fbprophet/tests/data.csv b/python/fbprophet/tests/data.csv new file mode 100644 index 0000000..f59d29b --- /dev/null +++ b/python/fbprophet/tests/data.csv @@ -0,0 +1,511 @@ +ds,y +2012-05-18,38.23 +2012-05-21,34.03 +2012-05-22,31.0 +2012-05-23,32.0 +2012-05-24,33.03 +2012-05-25,31.91 +2012-05-29,28.84 +2012-05-30,28.19 +2012-05-31,29.6 +2012-06-01,27.72 +2012-06-04,26.9 +2012-06-05,25.87 +2012-06-06,26.81 +2012-06-07,26.31 +2012-06-08,27.1 +2012-06-11,27.01 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from __future__ import division from __future__ import print_function from __future__ import unicode_literals -try: - from StringIO import StringIO -except ImportError: - from io import StringIO +import os import numpy as np import pandas as pd @@ -24,6 +21,15 @@ from fbprophet import Prophet # fb-block 1 end # fb-block 2 +DATA = pd.read_csv( + os.path.join(os.path.dirname(__file__), 'data.csv'), + parse_dates=['ds'], +) +DATA2 = pd.read_csv( + os.path.join(os.path.dirname(__file__), 'data2.csv'), + parse_dates=['ds'], +) + class TestProphet(TestCase): def test_fit_predict(self): @@ -298,517 +304,25 @@ class TestProphet(TestCase): m.fit(DATA) self.assertEqual(m.seasonalities['yearly'], (365.25, 7)) - -DATA = pd.read_csv(StringIO(""" -ds,y -2012-05-18,38.23 -2012-05-21,34.03 -2012-05-22,31.0 -2012-05-23,32.0 -2012-05-24,33.03 -2012-05-25,31.91 -2012-05-29,28.84 -2012-05-30,28.19 -2012-05-31,29.6 -2012-06-01,27.72 -2012-06-04,26.9 -2012-06-05,25.87 -2012-06-06,26.81 -2012-06-07,26.31 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def test_auto_daily_seasonality(self): + # Should be enabled + m = Prophet() + self.assertEqual(m.yearly_seasonality, 'auto') + m.fit(DATA2) + self.assertIn('daily', m.seasonalities) + self.assertEqual(m.seasonalities['daily'], (1, 4)) + # Should be disabled due to too short history + N = 430 + train = DATA2.head(N) + m = Prophet() + m.fit(train) + self.assertNotIn('daily', m.seasonalities) + m = Prophet(daily_seasonality=True) + m.fit(train) + self.assertIn('daily', m.seasonalities) + m = Prophet(daily_seasonality=7) + m.fit(DATA2) + self.assertEqual(m.seasonalities['daily'], (1, 7)) + m = Prophet() + m.fit(DATA) + self.assertNotIn('daily', m.seasonalities)